A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
LSLSD: Fusion Long Short-Level Semantic Dependency of Chinese EMRs for Event Extraction
2021
Applied Sciences
Most existing medical event extraction methods have primarily adopted a simplex model based on either pattern matching or deep learning, which ignores the distribution characteristics of entities and events in the medical corpus. They have not categorized the granularity of event elements, leading to the poor generalization ability of the model. This paper proposes a diagnosis and treatment event extraction method in the Chinese language, fusing long short-level semantic dependency of the
doi:10.3390/app11167237
fatcat:2tdudo36hrbyxcrggcbd2z54ei